Klaviyo

Email Marketing and SMS Marketing Platform

Integrate the Klaviyo API with the Python API

Setup the Klaviyo API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Klaviyo and Python remarkably fast. Free for developers.

Add Member To List with the Klaviyo API

Add member to a specific list. See the docs here

 
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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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Create New List with the Klaviyo API

Creates a new list in an account. See the docs here

 
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Get Lists with the Klaviyo API

Get a listing of all of the lists in an account. See the docs here

 
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Overview of Klaviyo

With the Klaviyo API, you can build a variety of things, including:

  • A way to track and analyze your website's traffic
  • A way to segment your website's visitors
  • A way to send targeted emails to your website's visitors
  • A way to A/B test your email campaigns
  • A way to track your email campaign's performance
  • A way to create custom reports about your website's traffic and visitor
    behavior

Connect Klaviyo

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    klaviyo: {
      type: "app",
      app: "klaviyo",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: ` https://a.klaviyo.com/api/accounts/`,
      headers: {
        "Authorization": `Klaviyo-API-Key ${this.klaviyo.$auth.api_key}`,
        "revision": `2023-12-15`,
      },
    })
  },
})

Overview of Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Connect Python

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def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}